巴西南里奥格兰德州创伤外科医生队伍数据集

数据集获取（Figshare）

• 源站标题：Trauma surgery workforce in the state of Rio Grande do Sul, Brazil
• DOI：10.6084/m9.figshare.22982339.v1
• 发布日期：2023-05-20
• 文件数：14 个
• 文件总体积：121.56 KB
• 源站页面：https://scielo.figshare.com/articles/dataset/Trauma_surgery_workforce_in_the_state_of_Rio_Grande_do_Sul_Brazil/22982339

命令行下载

curl -L -o "f153fd4bff1b60113f19a0a6f2e3b994f11aa950.jpg" "https://ndownloader.figshare.com/files/40728173"
curl -L -o "bb042366094da5fccaaa74e603e04b5f4d07af67.jpg" "https://ndownloader.figshare.com/files/40728176"
curl -L -o "3bbe6dfa11b26f9543cca14e1e3146c25e234df5.jpg" "https://ndownloader.figshare.com/files/40728179"
curl -L -o "285a56dfb24b8ef0e0b130b343820957c502e10a.jpg" "https://ndownloader.figshare.com/files/40728182"
curl -L -o "783c2e3fb7e42f5727bdb62fe0eac0dc6777a3d7.jpg" "https://ndownloader.figshare.com/files/40728185"
curl -L -o "7ae778cde6d2190376f6fc4918890b179424ef76.jpg" "https://ndownloader.figshare.com/files/40728188"
curl -L -o "9acaa21a139a65ad2d8a62f74df46ce41d5318bd.jpg" "https://ndownloader.figshare.com/files/40728191"
curl -L -o "79bbc547212691593e14bac545304110555303d4.jpg" "https://ndownloader.figshare.com/files/40728194"

文件清单

• f153fd4bff1b60113f19a0a6f2e3b994f11aa950.jpg（12.32 KB）
• bb042366094da5fccaaa74e603e04b5f4d07af67.jpg（6.19 KB）
• 3bbe6dfa11b26f9543cca14e1e3146c25e234df5.jpg（10.56 KB）
• 285a56dfb24b8ef0e0b130b343820957c502e10a.jpg（5.35 KB）
• 783c2e3fb7e42f5727bdb62fe0eac0dc6777a3d7.jpg（14.76 KB）
• 7ae778cde6d2190376f6fc4918890b179424ef76.jpg（6.69 KB）
• 9acaa21a139a65ad2d8a62f74df46ce41d5318bd.jpg（11.74 KB）
• 79bbc547212691593e14bac545304110555303d4.jpg（6.12 KB）
• 1f237ccfd6b22c4ff019322973cabd82ea510e91.jpg（9.82 KB）
• 0dbcc43c304399361d54f621c87da3307a54dbaf.jpg（5.42 KB）
• 62205b376efbafe57ef60b952c2955876739ef69.jpg（14.47 KB）
• 952871b8c499209bf04e20bdb66ae55f145cc138.jpg（6.85 KB）
• Table_1.xls（5.63 KB）
• Table_2.xls（5.63 KB）

文件总体积 121.56 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

ABSTRACT Objective: to describe the current scope of certified trauma surgeons trained in the state of Rio Grande do Sul, including demographic data, geographic distribution, remuneration, and perspectives related to this specialty. Method: cross-sectional survey based on information collected through an electronic questionnaire sent to potential participants. Results: the response rate was 64% (n=75). There was a predominance of males (72%) with a mean age of 43 years. Most surgeons graduated from the Hospital de Pronto Socorro de Porto Alegre, and work in referral centers for trauma surgery in the capital and metropolitan region. More than 60% did not have any other training in a surgical subspecialty, though only a third stated that trauma surgery is their main source of income. Conclusion: trauma centers are poorly distributed and most surgeons work in referral hospitals in the metropolitan region of Porto Alegre. Due to the lack of recognition, limited financial income and shift work patterns, the career in trauma surgery care is unattractive, with only one third of surgeons performing most of their activities in this specialty.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.22982339.v1（source: https://scielo.figshare.com/articles/dataset/Trauma_surgery_workforce_in_the_state_of_Rio_Grande_do_Sul_Brazil/22982339）。